Evidence map›Paper›PMID 38426125›Full record

ArticleFrontiers in neurorobotics2024

Keeping social distance in a classroom while interacting via a telepresence robot: a pilot study.

Kristel Marmor, Janika Leoste, Mati Heidmets, Katrin Kangur, Martin Rebane, Jaanus Pöial, Tiina Kasuk

Abstract read
In one paragraph

Article in Frontiers in neurorobotics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kristel MarmorIT College, Tallinn University of Technology, Tallinn, Estonia.
Janika LeosteIT College, Tallinn University of Technology, Tallinn, Estonia.
Mati HeidmetsSchool of Educational Sciences, Tallinn University, Tallinn, Estonia.
Katrin KangurIT College, Tallinn University of Technology, Tallinn, Estonia.
Martin RebaneIT College, Tallinn University of Technology, Tallinn, Estonia.
Jaanus PöialIT College, Tallinn University of Technology, Tallinn, Estonia.
Tiina KasukIT College, Tallinn University of Technology, Tallinn, Estonia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The use of various telecommunication tools has grown significantly. However, many of these tools (e.g., computer-based teleconferencing) are problematic in relaying non-verbal human communication. Telepresence robots (TPRs) are seen as telecommunication tools that can support non-verbal communication. Methods: In this paper, we examine the usability of TPRs, and communication distance related behavioral realism in communication situations between physically present persons and a TPR-mediated person. Twenty-four participants, who played out 36 communication situations with TPRs, were observed and interviewed. Results: The results indicate that TPR-mediated people, especially women, choose shorter than normal communication distances. The type of the robot did not influence the choice of communication distance. The participants perceived the use of TPRs positively as a feasible telecommunication method. Discussion: When introducing TPRs, situations with greater intrapersonal distances require more practice compared to scenarios where a physically present person communicates with a telepresent individual in the audience. In the latter situation, the robot-mediated person could be perceived as "behaviorally realistic" much faster than in vice versa communication situations.

Indexed as

behavioral realismhuman-robot interactionproximityremote communicationsocial normssocial presencetelepresence robots

Identifiers

PMID38426125
PMCPMC10903260

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.